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Computational Collective Intelligence. Technologies and Applications : 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part I

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Cover of 'Computational Collective Intelligence. Technologies and Applications : 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part I'

Table of Contents

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    Book Overview
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    Chapter 1 Comparison of One-Level and Two-Level Consensuses Satisfying the 2-Optimality Criterion
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    Chapter 2 A Heuristic Method for Collaborative Recommendation Using Hierarchical User Profiles
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    Chapter 3 Solving Conflict on Collaborative Knowledge via Social Networking Using Consensus Choice
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    Chapter 4 Integrating Multiple Experts for Correction Process in Interactive Recommendation Systems
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    Chapter 5 Modeling Collaborative Knowledge of Publishing Activities for Research Recommendation
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    Chapter 6 A New Approach for Problem of Sequential Pattern Mining
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    Chapter 7 Robust Human Detection Using Multiple Scale of Cell Based Histogram of Oriented Gradients and AdaBoost Learning
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    Chapter 8 Discovering Time Series Motifs Based on Multidimensional Index and Early Abandoning
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    Chapter 9 A Hybrid Approach of Pattern Extraction and Semi-supervised Learning for Vietnamese Named Entity Recognition
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    Chapter 10 Information Extraction from Geographical Overview Maps
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    Chapter 11 Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor
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    Chapter 12 A Tree-Based Approach for Mining Frequent Weighted Utility Itemsets
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    Chapter 13 A Novel Trajectory Privacy-Preserving Future Time Index Structure in Moving Object Databases
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    Chapter 14 Summarizing Knowledge Base with Modal Conditionals
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    Chapter 15 Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method
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    Chapter 16 On Structuring of the Space of Needs in the Framework of Fuzzy Sets Theory
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    Chapter 17 Comparison of Fuzzy Combiner Training Methods
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    Chapter 18 Computational Collective Intelligence. Technologies and Applications
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    Chapter 19 From Fuzzy Cognitive Maps to Granular Cognitive Maps
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    Chapter 20 Bayesian Vote Weighting in Crowdsourcing Systems
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    Chapter 21 Recognition Task with Feature Selection and Weighted Majority Voting Based on Interval-Valued Fuzzy Sets
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    Chapter 22 On Quadrotor Navigation Using Fuzzy Logic Regulators
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    Chapter 23 An Analysis of Change Trends by Predicting from a Data Stream Using Genetic Fuzzy Systems
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    Chapter 24 On C-Learnability in Description Logics
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    Chapter 25 Query-Subquery Nets
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    Chapter 26 An Approach to Extraction of Linguistic Recommendation Rules – Application of Modal Conditionals Grounding
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    Chapter 27 Paraconsistent Artificial Neural Networks and AD Analysis – Improvements
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    Chapter 28 Classification of Tuberculosis Digital Images Using Hybrid Evolutionary Extreme Learning Machines
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    Chapter 29 Comparison of Nature Inspired Algorithms Applied in Student Courses Recommendation
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    Chapter 30 Ten Years of Weakly Universal Cellular Automata in the Hyperbolic Plane
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    Chapter 31 Optimizing Communication Costs in ACODA Using Simulated Annealing: Initial Experiments
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    Chapter 32 Robust Plagiary Detection Using Semantic Compression Augmented SHAPD
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    Chapter 33 Words Context Analysis for Improvement of Information Retrieval
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    Chapter 34 Mediating Accesses to Multiple Information Sources in a Multi-lingual Application
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    Chapter 35 Classification of Speech Signals through Ant Based Clustering of Time Series
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    Chapter 36 A Neuronal Approach to the Statistical Image Reconstruction from Projections Problem
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    Chapter 37 Ripple Down Rules for Vietnamese Named Entity Recognition
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    Chapter 38 Induction of Dependency Structures Based on Weighted Projection
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    Chapter 39 Smart Access to Big Data Storage – Android Multi-language Offline Dictionary Application
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    Chapter 40 STARS: Ad-Hoc Peer-to-Peer Online Social Network
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    Chapter 41 Social Filtering Using Social Relationship for Movie Recommendation
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    Chapter 42 An Intelligent RDF Management System with Hybrid Querying Approach
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    Chapter 43 Cross-Organisational Decision Support: An Agent-Enabled Approach
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    Chapter 44 The Semantics of Norms Mining in Multi-agent Systems
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    Chapter 45 MAScloud: A Framework Based on Multi-Agent Systems for Optimizing Cost in Cloud Computing
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    Chapter 46 A Computational Trust Model with Trustworthiness against Liars in Multiagent Systems
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    Chapter 47 Color Image Segmentation Based on the Block Homogeneity
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    Chapter 48 Finite Automata with Imperfect Information as Classification Tools
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    Chapter 49 Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images
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    Chapter 50 An Approach to Determine the Number of Clusters for Clustering Algorithms
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    Chapter 51 Fuzzy Classification Method in Credit Risk
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    Chapter 52 Preventing Attacks by Classifying User Models in a Collaborative Scenario
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    Chapter 53 Hierarchical Clustering through Bayesian Inference
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    Chapter 54 An Approach to Improving Quality of Crawlers Using Naïve Bayes for Classifier and Hyperlink Filter
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    Chapter 55 Network Intrusion Detection Based on Multi-Class Support Vector Machine
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    Chapter 56 Solving Nurse Rostering Problems by a Multiobjective Programming Approach
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    Chapter 57 Conditional Parameter Identification with Asymmetrical Losses of Estimation Errors
Attention for Chapter 12: A Tree-Based Approach for Mining Frequent Weighted Utility Itemsets
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Citations

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Readers on

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Summary Dimensions citations
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Chapter title
A Tree-Based Approach for Mining Frequent Weighted Utility Itemsets
Chapter number 12
Book title
Computational Collective Intelligence. Technologies and Applications
Published by
Springer, Berlin, Heidelberg, November 2012
DOI 10.1007/978-3-642-34630-9_12
Book ISBNs
978-3-64-234629-3, 978-3-64-234630-9
Authors

Bay Vo, Bac Le, Jason J. Jung, Vo, Bay, Le, Bac, Jung, Jason J.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 15%
Professor 2 15%
Unspecified 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Bachelor 1 8%
Other 2 15%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 7 54%
Unspecified 1 8%
Unknown 5 38%

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